University of Plymouth Autonomous Marine Systems: Completed PhD project: An intelligent, fast-acquisition remote sensing system for locating and measuring burial of subsea power and telecommunication cables

New book on marine autonomous vehicles

Associate Professor (Reader) in Intelligent Autonomous Control Systems Dr Sanjay Sharma has edited Navigation and Control of Autonomous Marine Vehicles, recently published by The Institution of Engineering and Technology. The book covers the current state of research in navigation, modelling and control of marine autonomous vehicles and is aimed at researchers, academics and postgraduate students interested in autonomous marine vessels, robotics, and electrical and automobile engineering.

More information on the book

Dr Sanjay Sharma
Dr Sanjay Sharma


Er Meng Joo, Ning Wang, Mahardhika Pratama, Sanjay Sharma and Zhichao Lian (Editors) (2018), 'Intelligent Marine and Aerial Vehicles: Theory and Applications' in Series: Robotics Research and Technology, Nova Science Publishers, Inc., 400 Oser Avenue, Suite 1600, Hauppauge, NY 11788 USA, ISBN: 978-1-53613-446-9.

Gloria Ejehiohen Iyawa, AsiyaKhan, Sesinam Dagadu, Kristine Mae Magtubo and Rupert Calvin Sievert, Identifying the Components of a SmartHealth Ecosystem for Asthma Patients: A Systematic Literature Review andConceptual Framework, The IoT and the Net Revolutions Automating the World, IGIGlobal, ed. Dinesh Goyal, 2019.

Roberts GN and Sutton R (Eds). Further Advances in Unmanned Marine Vehicles. IET Control Series 77, IET Press, ISBN978-1-84919-479-2, 2012.

Roberts GN and Sutton R (Eds). Advances in Unmanned Marine Vehicles. IEE Control Series, IEE Press, ISBN 0-86341-450-8, 2006.

Book chapters

(2019) A. A. Laghari, A. Khan and H. He Quality of Experience (QoE) and Qualityof Service (QoS) in UAV Systems, IET book chapter for Imaging and sensing forunmanned aerial vehicles, vol. 2 – deployment and applications, (accepted), Edby Vania V. Estrela and Jude Hemanth, 2019.

(2019) Sahand Murad, Stavros Shiaeles, Asiya Khan and Giovanni Masala, Data Encryption and Fragmentation in Autonomous Vehicles using Raspberry Pi 3, IEEE Services Workshop on Cyber Security and Resilience in the Internet of Things, 8-13 July 2019.

(2019) Khan AI, Pemberton R, momen A & bristow D 2019 'De-Noising Signals using Wavelet Transform in Internet of Underwater Things' Intellysis 2019, DOI PEARL.

(2019) Day C, McEachen L, Khan AI, Sharma S & Masala G 2019 'Pedestrian Recognition and Obstacle Avoidance for Autonomous Vehicles using Raspberry Pi' IntelliSys 2019 PEARL.

(2018) Singh Y, Sharma S, Sutton R, Hatton DC & Khan A 2018 'Feasibility study of a constrained Dijkstra approach for optimal path planning of an unmanned surface vehicle in a dynamic maritime environment' Costelha H; Calado J; Conde Bento L; Lopes N; Oliveira P2018 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC) Torres Vedras 25/04/2018 27/04/2018 Danvers Institute of Electrical and Electronics Engineers 117-122 Publisher Site, DOI PEARL.

(2018) Khan AI, Pemberton R, Schoenborn P, Honey S & Edward-Jones A 2018 'Delivering Impact via Student Research: Sharing Best Practice' PedRIO Plymouth 20/04/2018 20/04/2018.

(2018) Y. Singh, Sharma, S., Hatton, D., Sutton, R. and Khan, A. "Efficient Optimal Path Planning of Unmanned Surface Vehicles". In: Navigation and Control of Autonomous Marine Vehicles. Ed. by Sanjay Sharma and Bidyadhar Subudhi. (Accepted). Stevenage: IET, 2018. Chapter 9.

(2017) Singh, Y., Sharma, S., Sutton, R. and Hatton, D. (Book Chapter) (2017) ‘Optimal Path Planning of an Unmanned Surface Vehicle in a Real- Time Marine Environment using a Dijkstra Algorithm’, in Marine Navigation. CRC Press, pp. 399–402. doi: doi:10.1201/9781315099132-70.

(2014) Sutton R and Sharma S “Editorial, Special Issue on Unmanned Marine Vehicles” Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment, DOI: 10.1177/1475090214522748, Vol 228, Issue 2, May 2014, pp 107, ISSN 1475-0902.

(2012) NAEEM W, SUTTON R and XU T. An Automatic Control and Fault-Tolerant Multi-Sensor Navigation System Design for an Unmanned Maritime Vehicle. ROBERTS GN and SUTTON R (Eds). Further Advances in Unmanned Marine Vehicles. IET Control Series 77, IET Press, ISBN978-1-84919-479-2, 2012.

(2009) Sharma S, S. B. Navigation and Control of Autonomous Marine Vehicles. Stevenage, UK: The Institution of Engineering and Technology.

(2008) Sharma S. K, Siddique M. N. H., Tokhi M. O. and Irwin G. W. “Soft-computing approaches for control of flexible manipulators”, in Flexible Robot Manipulators – TOKHI, M. O. and AZAD, A. K. M. Flexible robot manipulators – Modelling, simulation and control, The Institution of Engineering and Technology, Stevenage, UK. ISBN: 978-0-86341-448-0.

(2008) Khan SG, Naeem W, Sutton R and Sharma S, “Application of Soft Computing Techniques to a LQG Controller Design”, in Chapter 1 Simulation and Virtual Reality Enabled Design and Manufacture Analysis of Advanced Design and Manufacture to Gain a Competitive Edge, Springer London, ISBN: 978-1-84800-240-1 (Print) 978-1-84800-241-8 (Online).

(2006) LOEBIS D, NAEEM W, SUTTON R, CHUDLEY J and TIANO A. Navigation, guidance and control of the Hammerhead autonomous vehicle. ROBERTS GN and SUTTON R (Eds). Advances in Unmanned Marine Vehicles. IEE Control Series, IEE Press, ISBN 0-86341-450-8, 2006.

(2005) Li, K, Yu, W, Yang, S H and Sharma, S "Editorial, Special Issue on Evolutionary Algorithm & Advanced Learning System" International Journal of Information Technology, vol. 11, no. 10.

(2000) BURNS R S, SUTTON R and CRAVEN P J. A Multivariable Online Intelligent Autopilot Design Study. The Ocean Engineering Handbook, CRC Press LLC, December 2000, pp 252-259.